A closer look
Law enforcement agencies are increasingly using complex algorithms to predict exactly where and when a crime is likely to occur before it happens. By feeding historical arrest data and environmental factors into a machine learning model, police can actively patrol highly targeted city blocks. However, this technology controversially risks creating a self-fulfilling loop, where over-policing an area generates more data that directs the algorithm right back.





